An Artificial Intelligence Approach to Proactively Inspire Drug Discovery with Recommendations-Reference-Cited by-同舟云学术

An Artificial Intelligence Approach to Proactively Inspire Drug Discovery with Recommendations

Published:2020-02-26 Issue:16 Volume:63 Page:8824-8834
ISSN:0022-2623
Container-title:Journal of Medicinal Chemistry
language:en
Short-container-title:J. Med. Chem.

Author:

Rohall Steven L.¹,Auch Lydia²,Gable Jonathan²,Gora Jacob¹,Jansen Johanna²^ORCID,Lu Yipin²^ORCID,Martin Eric²^ORCID,Pancost-Heidebrecht Margaret¹,Shirley Bill²,Stiefl Nikolaus³,Lindvall Mika²^ORCID

Affiliation:

1. Novartis Institutes for BioMedical Research, Cambridge, Massachusetts 02139, United States

2. Novartis Institutes for BioMedical Research, Emeryville, California 94608, United States

3. Novartis Institutes for BioMedical Research, CH-4056 Basel, Switzerland

Publisher

American Chemical Society (ACS)

Subject

Drug Discovery,Molecular Medicine

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jmedchem.9b02130

Reference21 articles.

1. Using Machine Learning To Predict Suitable Conditions for Organic Reactions

2. Rethinking drug design in the artificial intelligence era

3. Exploiting personalized information for reagent selection in drug design

4. Corkery, J. Recommendation System for Compound Selection. OpenEye Scientific Software, February 28, 2011. https://www.eyesopen.com/blog/2011/02/28/recommendation-system-for-compound-selection (accessed 2020-02-16).

5. Creating a Virtual Assistant for Medicinal Chemistry

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